@article {Vrecko2012a, author = {Alen Vre\v{c}ko and Ale\v{s} Leonardis and Danijel Sko\v{c}aj}, abstract = {Binding - the ability to combine two or more modal representations of the same entity into a single shared representation - is vital for every cognitive system operating in a complex environment. In order to successfully adapt to changes in a dynamic environment the binding mechanism has to be supplemented with cross-modal learning. In this paper we define the problems of high-level binding and cross-modal learning. By these definitions we model a binding mechanism in a Markov logic network and define its role in a cognitive architecture. We evaluate a prototype binding system off-line, using three different inference methods.}, title = {Modeling binding and cross-modal learning in Markov logic networks}, year = {2012}, journal = {Neurocomputing} }